Attrition_cb01_gold_hd_2018

Environment Satisfaction, Job Satisfaction, Relationship Satisfaction, Work-Life Balance. 3. Exploratory Data Analysis (EDA)

Improving survey scores in "Work-Life Balance" through flexible scheduling. Attrition_cb01_gold_HD_2018

Attrition datasets are usually imbalanced (more people stay than leave). Use techniques like SMOTE (Synthetic Minority Over-sampling Technique) to balance the classes. Algorithm Selection: Logistic Regression: Good for baseline interpretability. Attrition_cb01_gold_HD_2018

To analyze attrition effectively, focus on these common data categories: Age, Gender, Marital Status. Attrition_cb01_gold_HD_2018

Addressing attrition in employees who have been in the same role for more than 3 years. To help you with a more specific guide,

New hires (0–2 years) and those who haven't been promoted recently are higher risks. 4. Predictive Modeling Steps